Literature DB >> 19889704

Mutational neighbourhood and mutation supply rate constrain adaptation in Pseudomonas aeruginosa.

Alex R Hall1, Victoria F Griffiths, R Craig MacLean, Nick Colegrave.   

Abstract

Understanding adaptation by natural selection requires understanding the genetic factors that determine which beneficial mutations are available for selection. Here, using experimental evolution of rifampicin-resistant Pseudomonas aeruginosa, we show that different genotypes vary in their capacity for adaptation to the cost of antibiotic resistance. We then use sequence data to show that the beneficial mutations associated with fitness recovery were specific to particular genetic backgrounds, suggesting that genotypes had access to different sets of beneficial mutations. When we manipulated the supply rate of beneficial mutations, by altering effective population size during evolution, we found that it constrained adaptation in some selection lines by restricting access to rare beneficial mutations, but that the effect varied among the genotypes in our experiment. These results suggest that mutational neighbourhood varies even among genotypes that differ by a single amino acid change, and this determines their capacity for adaptation as well as the influence of population biology processes that alter mutation supply rate.

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Year:  2009        PMID: 19889704      PMCID: PMC2842691          DOI: 10.1098/rspb.2009.1630

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  46 in total

Review 1.  Minimizing potential resistance: a population dynamics view.

Authors:  B R Levin
Journal:  Clin Infect Dis       Date:  2001-09-15       Impact factor: 9.079

2.  Evaluating the impact of population bottlenecks in experimental evolution.

Authors:  Lindi M Wahl; Philip J Gerrish; Ivan Saika-Voivod
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

3.  Divergent evolution during an experimental adaptive radiation.

Authors:  R Craig MacLean; Graham Bell
Journal:  Proc Biol Sci       Date:  2003-08-07       Impact factor: 5.349

4.  Biological cost and compensatory evolution in fusidic acid-resistant Staphylococcus aureus.

Authors:  I Nagaev; J Björkman; D I Andersson; D Hughes
Journal:  Mol Microbiol       Date:  2001-04       Impact factor: 3.501

5.  Compensatory evolution in rifampin-resistant Escherichia coli.

Authors:  M G Reynolds
Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

6.  Structural mechanism for rifampicin inhibition of bacterial rna polymerase.

Authors:  E A Campbell; N Korzheva; A Mustaev; K Murakami; S Nair; A Goldfarb; S A Darst
Journal:  Cell       Date:  2001-03-23       Impact factor: 41.582

7.  Compensatory mutations, antibiotic resistance and the population genetics of adaptive evolution in bacteria.

Authors:  B R Levin; V Perrot; N Walker
Journal:  Genetics       Date:  2000-03       Impact factor: 4.562

8.  Rapid phenotypic change and diversification of a soil bacterium during 1000 generations of experimental evolution.

Authors:  Merry S Riley; Vaughn S Cooper; Richard E Lenski; Larry J Forney; Terence L Marsh
Journal:  Microbiology       Date:  2001-04       Impact factor: 2.777

9.  Transmission bottlenecks and the evolution of fitness in rapidly evolving RNA viruses.

Authors:  S F Elena; R Sanjuán; A V Bordería; P E Turner
Journal:  Infect Genet Evol       Date:  2001-07       Impact factor: 3.342

10.  The distribution of fitness effects of beneficial mutations in Pseudomonas aeruginosa.

Authors:  R Craig MacLean; Angus Buckling
Journal:  PLoS Genet       Date:  2009-03-06       Impact factor: 5.917

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  25 in total

1.  Effects of sequential and simultaneous applications of bacteriophages on populations of Pseudomonas aeruginosa in vitro and in wax moth larvae.

Authors:  Alex R Hall; Daniel De Vos; Ville-Petri Friman; Jean-Paul Pirnay; Angus Buckling
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

Review 2.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

3.  Diminishing returns from beneficial mutations and pervasive epistasis shape the fitness landscape for rifampicin resistance in Pseudomonas aeruginosa.

Authors:  R C MacLean; G G Perron; A Gardner
Journal:  Genetics       Date:  2010-09-27       Impact factor: 4.562

Review 4.  Targeting virulence: can we make evolution-proof drugs?

Authors:  Richard C Allen; Roman Popat; Stephen P Diggle; Sam P Brown
Journal:  Nat Rev Microbiol       Date:  2014-04       Impact factor: 60.633

5.  Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses.

Authors:  Mato Lagator; Nick Colegrave; Paul Neve
Journal:  Proc Biol Sci       Date:  2014-11-07       Impact factor: 5.349

6.  Existing Host Range Mutations Constrain Further Emergence of RNA Viruses.

Authors:  Lele Zhao; Mansha Seth-Pasricha; Dragoş Stemate; Alvin Crespo-Bellido; Jacqueline Gagnon; Jeremy Draghi; Siobain Duffy
Journal:  J Virol       Date:  2019-02-05       Impact factor: 5.103

7.  Algae for biofuel: will the evolution of weeds limit the enterprise?

Authors:  James J Bull; Sinéad Collins
Journal:  Evolution       Date:  2012-05-01       Impact factor: 3.694

8.  Cost of antibiotic resistance and the geometry of adaptation.

Authors:  Ana Sousa; Sara Magalhães; Isabel Gordo
Journal:  Mol Biol Evol       Date:  2011-12-05       Impact factor: 16.240

9.  Herbicide cycling has diverse effects on evolution of resistance in Chlamydomonas reinhardtii.

Authors:  Mato Lagator; Tom Vogwill; Nick Colegrave; Paul Neve
Journal:  Evol Appl       Date:  2012-06-11       Impact factor: 5.183

10.  Genotypic but not phenotypic historical contingency revealed by viral experimental evolution.

Authors:  Stéphanie Bedhomme; Guillaume Lafforgue; Santiago F Elena
Journal:  BMC Evol Biol       Date:  2013-02-19       Impact factor: 3.260

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